FINDING #2859 · UNIT ID 1386191888
scaleapi/agentenv-framework
Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
27% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
19.33
ACCEL
+7.00
RETENTION
31.8%
PEAK 2026-10-08 · FORK-RETENTION 37.5% · 58 STARS / WINDOW
Author Audience
AUDIENCE
2,314
FOLLOWERS
746
OWNER ★
3,389
Engagement Signals
FORKS
14
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 58 / 58 (DIVERSITY 1.00)
Why This Is A Finding
scaleapi/agentenv-framework собрал 58 звёзд за окно, тогда как у автора всего 746 подписчиков — эффективная аудитория ≈ 2,314. Это даёт surprise-индекс 0.00821 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 37.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.
Related Findings
RANKS ABOVE 70% OF 9523 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9523 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 70%
VELOCITY19.335.67+13.67ABOVE 84%
RETENTION31.8%40.0%-8.2 PPABOVE 44%
FORKS14317-303ABOVE 8%
SURPRISE0.010.00+0.00ABOVE 59%